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A Future API for Parallel and Distributed Processing using batchtools
Implementation of the Future API <doi:10.32614/RJ-2021-048> on top of the batchtools package. This allows you to process futures, as defined by the future package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute (HPC) job schedulers such as LSF, OpenLava, Slurm, SGE, and TORQUE / PBS, e.g. y <- future.apply::future_lapply(files, FUN = process).
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A Future API for Parallel and Distributed Processing using batchtools
Implementation of the Future API <doi:10.32614/RJ-2021-048> on top of the batchtools package. This allows you to process futures, as defined by the future package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute (HPC) job schedulers such as LSF, OpenLava, Slurm, SGE, and TORQUE / PBS, e.g. y <- future.apply::future_lapply(files, FUN = process).
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https://future.batchtools.futureverse.org/A Future API for Parallel and Distributed Processing using batchtools
Implementation of the Future API <doi:10.32614/RJ-2021-048> on top of the batchtools package. This allows you to process futures, as defined by the future package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute (HPC) job schedulers such as LSF, OpenLava, Slurm, SGE, and TORQUE / PBS, e.g. y <- future.apply::future_lapply(files, FUN = process).
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7- titleA Future API for Parallel and Distributed Processing using batchtools • future.batchtools
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- og:descriptionImplementation of the Future API <doi:10.32614/RJ-2021-048> on top of the batchtools package. This allows you to process futures, as defined by the future package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute (HPC) job schedulers such as LSF, OpenLava, Slurm, SGE, and TORQUE / PBS, e.g. y <- future.apply::future_lapply(files, FUN = process).
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